Python package for early warning signals (EWS) of bifurcations in time series data.
-
Updated
Apr 4, 2026 - Jupyter Notebook
Python package for early warning signals (EWS) of bifurcations in time series data.
Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection
CAP (Common Alerting Protocol) XML alert format parsing, HTML parsing, inserting new alerts into database, OneSignal (possible Android and iOS push notifications), Twitter, Facebook, MailChimp (e-mail notifications) for project of open source solution for natural disasters early-warning.
Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis
Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling and Dismantling" by M. Grassia and G. Mangioni
Build early warning indicators with SAS
The supplemental material for the journal article: Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
Analysis code: heart-rate complexity (AC1 & Euler characteristic) as early-warning signals for septic shock — MIMIC-IV v3.1 discovery + eICU-CRD v2.0 external validation
Information-geometric early warning signals: KL divergence rate, Fisher-Rao distance, geodesic acceleration
CSD early-warning signals on BTC/ETH crashes — AR(1), std. dev., Kendall's τ | Econometrics & Time Series | M1 Paris 1 Sorbonne
Data, code and results from O'Brien D.A., Deb S., Gal G., Thackeray S.J., Dutta P.S., Matsuzaki S.S., May L. & Clements C.F. 2023. Early warning signals have limited applicability to empirical lake data.
A research compedium (data, code, manuscript) for project on detecting critical slowing down in measles dynamics.
This repository contains the data, analysis scripts, and experimental software for: Hurlstone, M. J., White, B., & Newell, B. R. (2025). Sensitivity of collective action to early warning signals of shifting climate tipping points.
Research-grade implementations of nonlinear dynamical systems, predictability, and regime behavior across complex systems (ecology, synthetic systems, and beyond)
Daily Assessment of Warnings and Notifications for CRC393
Add a description, image, and links to the early-warning-signals topic page so that developers can more easily learn about it.
To associate your repository with the early-warning-signals topic, visit your repo's landing page and select "manage topics."